Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Ugandan authorities
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
The article uses sensational language to describe the attack as a 'cowardly terrorist attack'.
Ugandan authorities have said that a couple on their honeymoon and their guide were killed in a 'cowardly terrorist attack' at a national park in the south-western part of the country.
Use neutral language to describe the attack.
The article fails to provide important details about the incident, such as the motive behind the attack or any evidence linking it to the Allied Democratic Forces rebel group.
Uganda’s police said the trio were killed, and their vehicle burned, in the Queen Elizabeth National Park as joint forces were pursuing suspected members of the Allied Democratic Forces rebel group.
Include more information about the motive behind the attack and any evidence linking it to the rebel group.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.